Enterprise digital workforce, agent platforms, control planes and work-management architecture.
NIST AI RMF 1.0 organizes AI risk work through Govern, Map, Measure, and Manage, providing a lifecycle operating model that must be translated into persistent records, evidence, decisions, and feedback loops to become executable.
A2A v1.0 and the MCP 2026-07-28 specification overlap in operational features but still govern different trust boundaries: collaboration between independent agents versus access to tools, context, and capabilities.
Workday, ServiceNow, and Microsoft are converging on a common enterprise Agent governance control plane: discover and register assets, assign owners, manage authority and lifecycle, observe runtime risk, and measure cost and value.
Oracle, Salesforce, and ServiceNow are embedding Agents into business objects, workflows, authority, approvals, and audit, shifting enterprise software from passive recording toward governed execution.
An enterprise benchmark for role-defined AI workers, deterministic workflows, authority, escalation and centralized governance.
A control-plane benchmark for persistent ownership, lifecycle, cost, compliance and workforce-level observability.